Simultaneous cartoon and texture reconstruction for image restoration by bivariate function
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 1275-1289 |
| Journal / Publication | Applicable Analysis |
| Volume | 90 |
| Issue number | 8 |
| Online published | 22 Sep 2010 |
| Publication status | Published - Aug 2011 |
| Externally published | Yes |
Link(s)
Abstract
We study the simultaneous cartoon and texture reconstruction problem. We propose a new model to approximate the cartoon and texture part by a sparse linear combination of some bases. A bivariate function is employed as the cost function. One of the variables is the decomposition image and the other is the sparse representation of the decomposition image. An alternating minimization algorithm is used to solve the minimization problem. We prove that the algorithm converges for both the l1-norm and the l0-norm. Numerical simulations are given to illustrate the efficiency of our method.
Research Area(s)
- Cartoon, Image, Sparse, Texture, Total variation
Citation Format(s)
Simultaneous cartoon and texture reconstruction for image restoration by bivariate function. / Wen, You-Wei; Chan, Raymond H.; Ching, Wai-Ki.
In: Applicable Analysis, Vol. 90, No. 8, 08.2011, p. 1275-1289.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
